[Scia Reto](https://sciareto.org) mind map   
> __version__=`1.1`,generatorId=`com.igormaznitsa:idea-mindmap:intellij-2022.33.0-IntelliJ IDEA`
---

# 软件工程

## 软件工程概述
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### 开发生命周期
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#### 软件定义时期
> collapsed=`true`


##### 可行性研究

##### 详细需求分析

#### 软件开发时期
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##### 概要设计

##### 详细设计

##### 编码

##### 测试

#### 软件运行与维护

### 开发文档
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#### 用户文档

#### 系统文档

### 四个方面活动
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#### P\(Plan\) 软件规格说明
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##### 制定计划

#### D\(Do\) 软件开发
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##### 开发代码

#### C\(Check） 软件确认
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##### 确认开发的功能满足用户需求

#### A\(Action\) 软件演进
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##### 不断改进以满足需求

### 软件工具
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#### 开发工具
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##### 需求分析工具

##### 设计工具

##### 编码与排错工具

##### 测试工具

#### 维护工具
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##### 版本控制工具

##### 文档分析工具

##### 开发信息库工具

##### 逆向工程工具

##### 再工程工具

#### 管理和支持工具
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##### 项目管理工具

##### 配置管理工具

##### 软件评价工具

### 软件设计四个活动
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#### 数据设计

#### 架构设计

#### 人机界面设计

#### 过程（功能）设计

## 软件成熟度模型
> collapsed=`true`


### 能力成熟度模型 CMM
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#### 初始级
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##### 依赖个人的努力

##### 依赖核心人物的作用

#### 可重复级
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##### 有必要的过程准则来重复以前在同类项目中的成功

##### 关键过程区域
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###### 软件配置管理

###### 软件质量保证

###### 软件子合同管理

###### 软件项目跟踪与监督

###### 软件项目策划

###### 软件需求管理

#### 已定义级
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##### 软件过程文档化、标准化

##### 关键过程区域
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###### 同行评审

###### 组间协调

###### 软件产品工程

###### 集成软件管理

###### 培训大纲

###### 组织过程定义

###### 组织过程集点

#### 已管理级
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##### 定制了软件过程和产品质量的详细度量标准

##### 关键过程区域
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###### 软件质量管理

###### 定量过程管理

#### 优化级
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##### 不断持续地改进

### 成立成熟度模型集成 CMMI
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#### 若干过程模式的综合和改进

#### 不仅仅是软件，而是多个工程学科和领域的、系统的、一致的过程改进框架

#### CMMI两种表示方法
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##### 阶段式模型
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###### 类似于CMM，它关注组织的成熟度

###### 分级
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####### 初始级
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######## 过程不可测且缺乏控制

####### 已管理级
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######## 过程为项目服务

####### 已定义级
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######## 过程为组织服务

####### 定量管理
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######## 过程已度量和控制

####### 优化级
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######## 集中于过程改进和优化

##### 连续式模型
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###### 关注每个过程的能力

## 软件过程模型
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### 概念
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#### 规划和组织软件开发过程的方法

#### 由一系列阶段和任务组成，每个阶段都有自己的任务和产出

#### 不同的项目可能需要不同的过程模型

### 类型
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#### 瀑布模型
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##### 生命周期
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###### 可行性分析

###### 需求分析

###### 软件设计
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####### 概要设计

####### 详细设计

###### 编码

###### 测试

###### 运行维护

##### 特点
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###### 阶段分明

###### 上一项开发活动的输出是下一项开发活动的输入

#### 原型化模型
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##### 特点
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###### 创建一个快速模型，与用户沟通后确认改进方案

###### 适用于需求不明确的开发需求

###### 要求原型实际可行

###### 具有最终系统的基本特征

###### 构造方便、快速、造价低

#### 螺旋模型
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##### 特点
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###### 是一个演化软件过程模型

###### 将原型实现的迭代特性与瀑布模型中控制的和系统化的方面结合起来

###### 软件开发是一系列的增量发布

###### 开发过程具有周期性重复的螺旋线装

#### 软件测试V模型
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##### 特点
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###### 每一步开发工作都对应一种测试方式

###### V模型适用于需求明确和需求不频繁变更的情形

###### 需求分析
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####### 验收测试

###### 概要设计
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####### 系统测试

###### 详细设计
> collapsed=`true`


####### 集成测试

###### 软件编码
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####### 单元测试

#### 增量模型
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##### 特点
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###### 首先开发核心模块功能

###### 每一次增量版本都作为独立可操作的作品

#### 喷泉模型
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##### 以用户需求为动力

##### 以对象作为驱动

##### 适合于面向对象的开发方法

#### 基于构件的开发模式 CBSD
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##### 也称之为快速开发模式

##### 主要利用预先包装的构件来构造应用系统

##### 预制构件，通过构件的组合实现系统功能

## 软件开发模型
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### 敏捷模型
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#### 特点
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##### 是适应性的，而非预设性的额

##### 是面向人的，而非面向过程的

#### 核心思想
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##### 敏捷方法是适应性，而非可预测性。拥抱变化，适应变化

##### 敏捷方法是以人为本，而非以过程为本。发挥人的特性。

##### 迭代增量式的开发过程。以原型开发思想为基础，采用法代增量式开发，发行版本小型化。

#### 工作方法
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##### 极限编程（XP）
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###### 基础和价值观
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####### 交流

####### 朴素

####### 反馈

####### 勇气

###### 一种近螺旋式的开发方法，它将复杂的开发过程分解为一个个相对比较简单的小周期

##### 水晶系列方法
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###### 以人为中心的理念

###### 提倡机动性的方法

###### 每个都含有独特的角色、过程模式、工作产品和实践

##### 并列争球法（Scrum）
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###### 一种迭代的增量化过程

###### 按需求的优先级别来实现产品

###### 多个自组织的自治的小组并行的递增实现产品

##### 特性驱动开发法（FDD）
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###### 开发整体对象模型

###### 构造特征表

###### 计划特征开发

###### 特征设计

###### 特征构建

### 统一过程模型 RUP
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#### 概述
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##### 是一种重量级的过程

##### 描述了如何有效地利用商业的、可靠的方法开发和部署软件

#### 特点
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##### 用例驱动

##### 以系统体系为中心

##### 迭代与增量

#### 核心工作流
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##### 业务建模

##### 需求确认

##### 分析与设计

##### 实现

##### 测试

##### 部署

##### 配置与变更管理

##### 项目管理

##### 环境

#### 每个生命周期划分为多个循环
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##### 初始阶段

##### 细化阶段

##### 构造阶段

##### 移交阶段

#### 核心概念
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##### 角色

##### 活动

##### 工作流

#### 典型的4\+1视图

## 逆向工程
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### 软件复用
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#### 将已有软件的各种有关知识用于建立新的软件，以缩减软件开发和维护的花费

#### 早期的软件复用主要是指代码级复用

#### 后期软件复用定义扩大
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##### 领域知识

##### 开发经验

##### 设计决定

##### 体系结构

##### 需求

##### 设计

##### 代码

##### 文档

##### 其他一切有关方面

### 逆向工程
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#### 概述
> collapsed=`true`


##### 软件的逆向工程是分析程序，力图在比源代码更高抽象层次上建立程序的表示过程

##### 逆向工程是设计的恢复过程

#### 级别
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##### 实现级
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###### 抽象级别最低，完备性最高

###### 包括程序的抽象语法树、符号表、过程的设计表示

###### 例如逆向工程一个计算器，了解它是如何实现加减乘除运算的

##### 结构级

##### 功能级

##### 领域级
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###### 抽象级别最高，完备性最低

#### 相关概念
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##### 重构
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###### 通过重新组织代码、优化算法消除重复等方式来改善程序的质量和结构

##### 设计恢复
> collapsed=`true`


###### 通过对已有软件系统的逆向工程，还原出其设计和架构

##### 再工程
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###### 对现有软件系统进行重构、改进和现代化，以满足新的需求、提高新能或增强可维护性等方面的要求

##### 正向工程
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###### 按照预定需求和设计，实现工程的开发

## 需求工程
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### 概念
> collapsed=`true`


#### 对于软件需求的工程化管理

#### 软件需求是指用户对系统在功能、行为、性能、设计约束等方面的期望

### 过程
> collapsed=`true`


#### 需求开发
> collapsed=`true`


##### 需求获取

##### 需求分析

##### 需求定义（需求规划说明书）

##### 需求验证

#### 需求管理
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##### 变更控制

##### 版本控制

##### 需求跟踪

##### 需求状态跟踪

#### 需求管理支持需求开发

### 类别
> collapsed=`true`


#### 业务需求
> collapsed=`true`


##### 反映企业或客户对系统高层次的目标要求

##### 通常来自投资人、客户或公司部门

#### 用户需求
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##### 描述的是用户的具体目标，或用户要求系统必须能完成的任务

##### 即描述了用讷讷个使用系统来做什么

#### 系统需求
> collapsed=`true`


##### 功能需求
> collapsed=`true`


###### 也称为行为需求，规定了开发人员必须在系统里实现的软件功能

##### 非功能需求
> collapsed=`true`


###### 指系统必须具备的属性或品质，可细分为软件质量属性、性能需求等

##### 设计约束
> collapsed=`true`


###### 也称为限制条件或补充约束

###### 例如必须使用某种数据库、必须运行与某种操作系统上

#### 需求获取
> collapsed=`true`


##### 获取方法
> collapsed=`true`


###### 用户访谈

###### 问卷调查

###### 采样
> collapsed=`true`


####### 样本数量 = 0\.25 \* （可信度因子/错误率） \* 2

###### 情节串联板

###### 联合需求计划

###### 需求记录技术

#### 需求分析
> collapsed=`true`


##### 一个好的需求应当具有的特性
> collapsed=`true`


###### 无二义性

###### 完整性

###### 一致性

###### 可测试性

###### 确定性

###### 可跟踪性

###### 正确性

###### 必要性

##### 需求分析任务
> collapsed=`true`


###### 绘制系统上下文范围关系图（数据流图/DFD图）

###### 创建用户界面原型

###### 分析需求的可行性

###### 确定需求的优先级

###### 为需求建立模型

###### 创建数据字典

###### 使用质量功能部署（QFD），把需求和QFD进行关联

##### 结构化特点
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###### 自顶向下

###### 逐步分解

###### 面向数据

##### 三大模型
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###### 功能模型（数据流图/DFD）
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####### 描述功能，即数据在功能中的流转图

####### 组成部分
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######## 数据流

######## 加工逻辑

######## 数据存储

######## 外部实体

####### DFD图
> collapsed=`true`


######## 元素
> collapsed=`true`


######### 数据流向
> collapsed=`true`


########## 
> mmd.image=`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`


########## 由一组固定成分的数据组成，表示数据的流向

########## 在DFD中，数据流的流向必须经过加工

######### 加工逻辑
> collapsed=`true`


########## 
> mmd.image=`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`


########## 描述了输入数据流到输出数据流之间的变换

########## 常见错误
> collapsed=`true`


########### 有输入但是没有输出，称之为“黑洞”

########### 有输出但是没有输入，称之为“奇迹”

########### 输入不足以产生输出，称之为“灰洞”

######### 数据存储
> collapsed=`true`


########## 
> mmd.image=`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`


########## 用以存储数据

######### 外部实体
> collapsed=`true`


########## 
> mmd.image=`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`


########## 指存在于软件系统之外的人员或组织

########## 它一般指出系统所需数据的发源地和归宿地

######## 分层数据流图
> collapsed=`true`


######### 顶层图
> collapsed=`true`


########## 只描述外部实体和信息系统的交互

######### 0层图
> collapsed=`true`


########## 数据流的流入和流出对应的加工逻辑

########## 一般为顶层图的进一步细化

######### 1层图
> collapsed=`true`


########## 一般为0层图的进一步细化

###### 行为模型（状态转换图）
> collapsed=`true`


####### 描述状态的变化过程

###### 数据模型（E\-R图）
> collapsed=`true`


####### 描述数据结构

####### 组成部分
> collapsed=`true`


######## 实体

######## 实体间的联系

###### 数据字典 DD
> collapsed=`true`


####### 概述
> collapsed=`true`


######## 为了描述数据流图

####### 组成部分
> collapsed=`true`


######## 数据元素

######## 数据结构

######## 数据流

######## 数据存储

######## 加工逻辑

######## 外部实体

####### 类目
> collapsed=`true`


######## 数据流

######## 数据项

######## 数据存储

######## 基本加工
> collapsed=`true`


######### 结构化语言

######### 判定表

######### 判定树

###### 
> mmd.image=`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`


#### 需求定义
> collapsed=`true`


##### 概述
> collapsed=`true`


###### 软件需求规格说明书/SRS

###### 是需求开发活动的产物

###### 是整个开发工作的基础

###### SRS是软件开发过程中最重要的文档之一，对任何规模和性质的软件项目都不可缺少

##### 需求定义方法
> collapsed=`true`


###### 严格定义法
> collapsed=`true`


####### 也称预先定义

####### 建立在基本假设之上：所有需求都能够被预先定义

####### 适合需求明确的情况

###### 原型方法
> collapsed=`true`


####### 迭代的循环型开发方式

####### 并非所有的需求都能在系统开发之前被准确的说明

####### 需要实际的、可供用户参与的系统模型

####### 有合适的系统开发环境

#### 需求验证
> collapsed=`true`


##### 概述
> collapsed=`true`


###### 也被称为需求确认

###### 目的是与用户一起确认需求无误

###### 对SRS进行评审和测试

###### 需求验证通过后，需要用户签字确认，作为验收标准之一

###### 一旦通过需求评审，就需要定义需求基线，如果要更改需求，则必须按照需求修改流程进行

##### 步骤
> collapsed=`true`


###### 需求评审
> collapsed=`true`


####### 正式评审

####### 非正式评审

###### 需求测试
> collapsed=`true`


####### 设计概念测试用例

####### 设计场景来测试需求

####### 没有代码

#### 需求修改
> collapsed=`true`


##### 
> 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`


##### 产生原因
> collapsed=`true`


###### 无足够用户参与

###### 忽略了用户分类

###### 用户需求的不断增加

###### 模棱两可的需求

###### 不必要的特性

###### 过于精简色SRS

###### 不准确的估算

#### 需求跟踪
> collapsed=`true`


##### 正向跟踪

##### 反向跟踪

## 系统设计
> collapsed=`true`


### 业务流程设计
> collapsed=`true`


#### 工具
> collapsed=`true`


##### 程序流程图 （Program Flow Diagram，PFD）
> collapsed=`true`


###### 独立于任何一种程序设计语言

###### 由顺序、选择、循环结构构成

###### 比较直观、清晰，易于学习和掌握

###### 关键字
> collapsed=`true`


####### 与何种语言无关

##### IPO图
> collapsed=`true`


###### 流程描述工具

###### 包含数据流图

###### 关键字
> collapsed=`true`


####### 输入输出

####### 数据加工

##### N\-S图
> collapsed=`true`


###### 比较容易表示嵌套和层次关系，具有强烈的结构化特征

###### 当问题复杂时，N\-S图会很大，因此不适合复杂程序的设计

###### 关键字
> collapsed=`true`


####### 嵌套关系

####### 层次关系

##### 问题分析图 PAD
> collapsed=`true`


###### 专门用于支持结构化程序设计的图形工具

###### 具有清晰的逻辑结构、标准化的图形等优点

###### 关键字
> collapsed=`true`


####### 结构化

#### 分类
> collapsed=`true`


##### 业务流程管理 BPM
> collapsed=`true`


###### 改善现有业务流程

###### 三个层面
> collapsed=`true`


####### 规范流程

####### 优化流程

####### 再造流程

##### 业务流程重组 BPR
> collapsed=`true`


###### 放弃当前业务流程，重新组织业务流程

### 主要目的
> collapsed=`true`


#### 制定新系统的详细设计方法

### 设计方法
> collapsed=`true`


#### 结构化设计方法

#### 面向对象设计方法

### 主要内容
> collapsed=`true`


#### 概要设计
> collapsed=`true`


##### 又称为总体架构设计

##### 将系统的功能需求分配给软件模块，确定每个模块的功能和调用关系

##### 形成软件的模块结构图，即系统结构图

##### 产出概要设计说明书、模块结构说明书

#### 详细设计
> collapsed=`true`


##### 模块内详细算法设计

##### 模块内数据结构设计

##### 数据库的物理设计

##### 其他设计
> collapsed=`true`


###### 代码

###### 输入/输出

###### 用户界面

##### 编写详细设计说明书

##### 评审

### 系统设计基本原理
> collapsed=`true`


#### 抽象化

#### 自顶而下，逐步求精

#### 信息隐蔽

#### 模块独立
> collapsed=`true`


##### 高内聚
> collapsed=`true`


###### 一个功能不要跨模块实现

##### 低耦合
> collapsed=`true`


###### 模块之间的依赖尽可能降低

### 模块设计基本原则
> collapsed=`true`


#### 保持模块的大小适中

#### 尽可能减少调用的深度

#### 多扇入、少扇出
> collapsed=`true`


##### 多扇入：模块应当允许多个模块调用它

##### 少扇出：模块应当尽量少的调用其他模块

#### 单入口、单出口
> collapsed=`true`


##### 模块设计中，最好只有一个入口和一个出口

##### 例如：删除方法只保留一种，增加方法只保留一种

#### 模块的作用域应在模块之内

#### 功能应该是可以预测的

#### 模块内聚程度标准
> collapsed=`true`


##### 偶然内聚

##### 逻辑内聚

##### 时间内聚

##### 过程内聚

##### 通信内聚

##### 顺序内聚

##### 功能内聚

#### 模块耦合程度标准
> collapsed=`true`


##### 无直接耦合
> collapsed=`true`


###### 无直接关系

##### 数据耦合
> collapsed=`true`


###### 传递数据值

##### 标记耦合
> collapsed=`true`


###### 传递数据结构

##### 控制耦合
> collapsed=`true`


###### 传递控制变量、改变模块内的功能

##### 外部耦合
> collapsed=`true`


###### 软件外部环境

##### 公共耦合
> collapsed=`true`


###### 公共数据结构

##### 内容耦合
> collapsed=`true`


###### 模块内部关联

### 人机界面三大原则
> collapsed=`true`


#### 置于用户控制之下
> collapsed=`true`


##### 不强迫用户进入不必要的或不希望的动作的方式来定义交互方式

##### 提供灵活的交互

##### 允许用户可以中断和撤销

##### 当技能级别增加时可以使交互水化并允许定制交互

##### 使用户隔离内部技术细节

##### 应允许用户和出现在屏幕上的对象直接交互

#### 减少用户的记忆负担
> collapsed=`true`


##### 减少对短期记忆的要求

#### 保持界面的一致性

## 软件测试

### 概念

#### 为了发现错误而执行程序的过程

#### 成功的测试是发现了至今尚未发现的错误的测试

### 原则
> collapsed=`true`


#### 应尽早并不断的进行测试

#### 测试工作应避免由原开发软件的人或小组承担

#### 再设计测试方案时，不仅要确定输入数据，而且要根据系统功能确定预期的输出结果

#### 既要包含有效、合理的测试用例，也要包含不合理、失效的用例

#### 检验程序是否做了该做的事情，且是否做了不该做的事

#### 严格按照测试计划进行

#### 妥善保存测试计划和测试用例

#### 测试用例可以重复使用或追加测试

### 测试方法
> collapsed=`true`


#### 静态测试
> collapsed=`true`


##### 指被测程序不在机器上运行，而采用人工检测或计算机辅助静态分析的手段对程序进行检测

##### 包括对稳当的静态测试和对代码的静态测试

##### 方式
> collapsed=`true`


###### 桌前检查
> collapsed=`true`


####### 自行检查

###### 代码审查
> collapsed=`true`


####### 团队成员进行检查

###### 代码走查
> collapsed=`true`


####### 团队开发人员、测试人员和其他相关人员对代码进行检查

#### 动态测试
> collapsed=`true`


##### 指在计算机上实际运行程序进行软件测试

##### 方式
> collapsed=`true`


###### 黑盒测试
> collapsed=`true`


####### 旨在测试软件逻辑和结构

####### 类型
> collapsed=`true`


######## 等价类划分
> collapsed=`true`


######### 通过将输入项分成不同的类别，从而减少测试用例的数量

######### 例如
> collapsed=`true`


########## 合理范围类
> collapsed=`true`


########### 0\-100

########## 不合理单位
> collapsed=`true`


########### \> 100

########### \< 0

########## 非法单位
> collapsed=`true`


########### 字符串

########### 空置

######## 边界值划分
> collapsed=`true`


######### 通过获取边界值两端以及在此外围之外取值进行测试

######## 错误推测

######## 因果图

###### 白盒测试
> collapsed=`true`


####### 旨在测试软件功能

####### 覆盖级别
> collapsed=`true`


######## 语句覆盖 SC
> collapsed=`true`


######### 代码中所有的语句都要被执行一遍

######## 路径覆盖
> collapsed=`true`


######### 判定覆盖 DC
> collapsed=`true`


########## 代码中所有的判断语句的条件真假分支都要覆盖一次

######### 条件覆盖 CC
> collapsed=`true`


########## 针对每一个判断条件中的每一个独立条件都要执行一遍真和假

######### 条件判定组合覆盖 CDC
> collapsed=`true`


########## 同时满足判定覆盖和条件覆盖

###### 灰盒测试
> collapsed=`true`


####### 既要测试软件功能，也要测试软件结构

###### 自动化测试

### 测试阶段
> collapsed=`true`


#### 单元测试
> collapsed=`true`


##### 也称模块测试

##### 测试对象
> collapsed=`true`


###### 可独立编译或汇编的程序模块

###### 软件构件

###### OO软件中的类

##### 测试依据是软件详细设计说明书

#### 集成测试
> collapsed=`true`


##### 目的是测试模块之间，以及模块和已集成的软件之间的接口关系

#### 系统测试
> collapsed=`true`


##### 目的是测试系统的整体功能

##### 主要进行功能测试和性能测试

#### 确认测试
> collapsed=`true`


##### 目的是测试系统的功能、性能和其他特性是否与用户需求一致

##### 类型
> collapsed=`true`


###### 内部确认测试
> collapsed=`true`


####### 主要由开发组织内部按照SRS进行测试

###### Alpha测试
> collapsed=`true`


####### 用户在开发环境下进行测试

###### Beta测试
> collapsed=`true`


####### 用户在实际环境下进行测试

###### 验收测试
> collapsed=`true`


####### 真多SRS，在交付之前以用户为主进行的测试

#### 回归测试
> collapsed=`true`


##### 软件发生变更后，变更部分的准确性和对变更需求的符合性

##### 软件原有的、正确的功能、性能和其他规定的要求的不损害性

### 软件调试

#### 概念

##### 测试时发现错误，调试时找出错误的代码和原因

#### 方法

##### 蛮力法

##### 回溯法

##### 原因排除法

## 系统运行与维护

### 遗留系统

#### 概念

##### 指任何基本上不能进行修改和演化以满足新的变化了的业务需求的信息系统

#### 特点

##### 业务不能满足需求

##### 性能上已经落后、采用的技术已经过时

##### 维护工作十分困难

##### 没有文档、很难理解

#### 划分

##### 
> 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`


### 系统转换

#### 概念

##### 指新系统开发完毕投入运行，取代现有系统的过程

#### 转换计划

##### 直接转换

###### 节省成本

###### 只适合小系统

##### 并行转换

###### 新系统和老系统并行工作一段时间

###### 新系统经过试运行后再取代，若新系统过程中有问题也不影响老系统的运行

###### 风险极小

###### 成本较高

##### 分段转换

###### 分期分批逐步转换

###### 将大型系统分成多个子系统，一次试运行每个子系统，成熟一个子系统就转换一个子系统

###### 更耗时

### 数据转换与迁移

#### 概念

##### 将数据从旧数据库迁移到新数据库中

#### 方法

##### 系统切换前通过工具迁移

##### 系统切换前采用手工录入

##### 系统切换后通过新系统生成

### 系统维护

#### 概念

##### 耗时最长的阶段

##### 可维护性可以定义为维护人员理解、改正、改动和改进这个软件的难易程度

#### 评价指标

##### 易分析性

##### 易改变性

##### 稳定性

##### 易测试性

#### 维护类型

##### 硬件维护

##### 软件维护

###### 正确性维护

####### 修改BUG

###### 适应性维护

####### 由于外部环境变化，被动进行修改和升级

####### 修改需求

###### 完善性维护

####### 增加需求

###### 预防性维护

####### 预防性修改

####### 修补漏洞

##### 数据维护
